scholarly journals Do the Walkability and Urban Leisure Amenities of Neighborhoods Affect the Body Mass Index of Individuals? Based on a Case Study in Seoul, South Korea

2020 ◽  
Vol 17 (6) ◽  
pp. 2060
Author(s):  
Yunwon Choi ◽  
Heeyeun Yoon
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Structural Equation ◽  
Negative Impact ◽  
Physical Activities ◽  
The Body ◽  
Equation Modeling ◽  
Daily Physical Activities ◽  
The Impact ◽  
Urban Leisure

This study investigates the impact of neighborhood-built environments on obesity in interrelationship with socioeconomic status (SES)—controlling for dietary patterns and physical activities of residents—using structural equation modeling (SEM). A total of 577 samples who are between 19 and 64 years old and reside in Seoul are extracted from Korea National Health and Nutrition Examination Survey (KNHNES), 2015. Neighborhood environments are represented as the two latent constructs—walkability and leisure amenities—composited with indicators such as density of intersections, density of mixed-use area, and the area of open spaces and are aggregated by jurisdictional unit in Seoul. We found that greater walkability in a neighborhood explained a lower body mass index (BMI) among residents, whereas more urban leisure amenities in a neighborhood explained a higher BMI. The finding suggests that a walking-friendly environment is more effective than active recreational amenities in inducing people to engage in daily physical activities to the level that reduces obesity rate. SES exerted a negative impact on BMI of a greater magnitude than the impact of either of the environmental living conditions, reinforcing the importance of general wealth and education level in leading to a healthy lifestyle. Our research contributes to growing evidence of a relationship between obesity and the built environment in the context of Asian countries where the prevalence of obesity is becoming a serious issue and requires immediate attention.

scholarly journals Body Mass Index Moderates Brain Dynamics and Executive Function: A Structural Equation Modeling Approach

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Lauren Kupis ◽  
Zachary T. Goodman ◽  
Salome Kornfeld ◽  
Celia Romero ◽  
Bryce Dirks ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Executive Function ◽  
Body Mass ◽  
Structural Equation ◽  
Model Fit ◽  
Equation Modeling ◽  
Brain Dynamics ◽  
Latent Factors ◽  
The Impact ◽  
The Relationship

Obesity is associated with negative physical and mental health outcomes. Being overweight/obese is also associated with executive functioning impairments and structural changes in the brain. However, the impact of body mass index (BMI) on the relationship between brain dynamics and executive function (EF) is unknown. The goal of the study was to assess the modulatory effects of BMI on brain dynamics and EF. A large sample of publicly available neuroimaging and neuropsychological assessment data collected from 253 adults (18–45 years; mean BMI 26.95 kg/m2 ± 5.90 SD) from the Nathan Kline Institute (NKI) were included (http://fcon_1000.projects.nitrc.org/indi/enhanced/). Participants underwent resting-state functional MRI and completed the Delis-Kaplan Executive Function System (D-KEFS) test battery (1). Time series were extracted from 400 brain nodes and used in a co-activation pattern (CAP) analysis. Dynamic CAP metrics including dwell time (DT), frequency of occurrence, and transitions were computed. Multiple measurement models were compared based on model fit with indicators from the D-KEFS assigned a priori (shifting, inhibition, and fluency). Multiple structural equation models were computed with interactions between BMI and the dynamic CAP metrics predicting the three latent factors of shifting, inhibition, and fluency while controlling for age, sex, and head motion. Models were assessed for the main effects of BMI and CAP metrics predicting the latent factors. A three-factor model (shifting, inhibition, and fluency) resulted in the best model fit. Significant interactions were present between BMI and CAP 2 (lateral frontoparietal (L-FPN), medial frontoparietal (M-FPN), and limbic nodes) and CAP 5 (dorsal frontoparietal (D-FPN), midcingulo-insular (M-CIN), somatosensory motor, and visual network nodes) DTs associated with shifting. A higher BMI was associated with a positive relationship between CAP DTs and shifting. Conversely, in average and low BMI participants, a negative relationship was seen between CAP DTs and shifting. Our findings indicate that BMI moderates the relationship between brain dynamics of networks important for cognitive control and shifting, an index of cognitive flexibility. Furthermore, higher BMI is linked with altered brain dynamic patterns associated with shifting.

scholarly journals Body Mass Index, Multi-Morbidity, and COVID-19 Risk Factors as Predictors of Severe COVID-19 Outcomes

2021 ◽  
Vol 12 ◽  
pp. 215013272110185
Author(s):  
Sanjeev Nanda ◽  
Audry S. Chacin Suarez ◽  
Loren Toussaint ◽  
Ann Vincent ◽  
Karen M. Fischer ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Hospital Admission ◽  
Body Mass ◽  
Risk Score ◽  
The Body ◽  
Risk Scores ◽  
Nasopharyngeal Swab ◽  
Morbidity Score ◽  
The Impact

Purpose The purpose of the present study was to investigate body mass index, multi-morbidity, and COVID-19 Risk Score as predictors of severe COVID-19 outcomes. Patients Patients from this study are from a well-characterized patient cohort collected at Mayo Clinic between January 1, 2020 and May 23, 2020; with confirmed COVID-19 diagnosis defined as a positive result on reverse-transcriptase-polymerase-chain-reaction (RT-PCR) assays from nasopharyngeal swab specimens. Measures Demographic and clinical data were extracted from the electronic medical record. The data included: date of birth, gender, ethnicity, race, marital status, medications (active COVID-19 agents), weight and height (from which the Body Mass Index (BMI) was calculated, history of smoking, and comorbid conditions to calculate the Charlson Comorbidity Index (CCI) and the U.S Department of Health and Human Services (DHHS) multi-morbidity score. An additional COVID-19 Risk Score was also included. Outcomes included hospital admission, ICU admission, and death. Results Cox proportional hazards models were used to determine the impact on mortality or hospital admission. Age, sex, and race (white/Latino, white/non-Latino, other, did not disclose) were adjusted for in the model. Patients with higher COVID-19 Risk Scores had a significantly higher likelihood of being at least admitted to the hospital (HR = 1.80; 95% CI = 1.30, 2.50; P < .001), or experiencing death or inpatient admission (includes ICU admissions) (HR = 1.20; 95% CI = 1.02, 1.42; P = .028). Age was the only statistically significant demographic predictor, but obesity was not a significant predictor of any of the outcomes. Conclusion Age and COVID-19 Risk Scores were significant predictors of severe COVID-19 outcomes. Further work should examine the properties of the COVID-19 Risk Factors Scale.

Antecedents of horizontal logistics collaboration in agri-food supply chains

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ismail Badraoui ◽  
Ivo van der Lans ◽  
Youssef Boulaksil ◽  
Jack G.A.J. van der Vorst
Keyword(s):  
Supply Chains ◽  
Food Supply ◽  
Structural Equation ◽  
The Body ◽  
Equation Modeling ◽  
Content Type ◽  
Operational Conditions ◽  
Food Supply Chains ◽  
The Impact ◽  
The Relationship

PurposeThis study investigates the impact of agri-food supply chains (AFSCs) characteristics on the antecedents of horizontal logistics collaboration (HLC). Specifically, the study compares the relationship between collaboration activities and outcomes for companies in and outside AFSCs.Design/methodology/approachFirst, a survey was used to collect data from different industries. Second, confirmatory factor analysis and structural equation modeling were applied to compare the measurement and structural models from different industry categories.FindingsThe results support the premise that collaboration improves trust and commitment in the relationship, which in turn enhance satisfaction. The results also show the existence of a minor influence of AFSCs characteristics on HLC antecedents, in the form of an indirect impact of dedicated investments on commitment.Practical implicationsThe factors having a significant influence on the collaboration outcomes and their respective effects are generally similar across food and nonfood supply chains, providing opportunities for interdisciplinary and collaboration experiences.Originality/valueThis research contributes to the body of knowledge on interfirm collaboration by considering the specificities of HLC. It also highlights the importance of conducting contingency research on collaborative experiences, as firms from different industry contexts operate under distinct operational conditions.

Impact of Information Technology Risks on Information Systems Security: A Field Study of Telecommunication Companies in Yemen

2021 ◽  
Vol 27 (1) ◽  
pp. 125-157
Author(s):  
Mohammed A. Alrubaidi ◽  
Nabil Hassan Abdo Al-Hemyari
Keyword(s):  
Information Technology ◽  
Information Systems ◽  
Structural Equation ◽  
Negative Impact ◽  
Equation Modeling ◽  
Systems Security ◽  
Telecommunication Companies ◽  
Information And Communication ◽  
Study Population ◽  
The Impact

This study aimed to assess the impact of information technology risks on security of information systems by following an analytical method based on the structural equation modeling (SEM). The study population was seven telecommunication companies in Yemen. A questionnaire was distributed to 356 participants, but only 218 forms were valid for analysis. The data was analyzed by the partial least squares (PLS). The study findings revealed that information technology risks had a negative impact on the security of information systems. The study recommended that the security of information systems should be strengthened so as to maintain the confidentiality of information, its availability and safety from risks, and to cope with speedy developments in information and communication technology.

scholarly journals The Impact of Nutritional Status and Body Mass Index on Rehabilitation Outcomes in Patients Receiving Home-Based Medical Care

2020 ◽  
Vol 3 (2) ◽  
pp. 15
Author(s):  
Kanako Eiwa ◽  
Naomi Nakayama ◽  
Yumi Takami ◽  
Shuko Iwasaki ◽  
Yoshinori Hino ◽  
...  
Keyword(s):  
Body Mass Index ◽  
At Risk ◽  
Nutritional Status ◽  
Medical Care ◽  
Body Mass ◽  
Functional Independence ◽  
The Body ◽  
Rehabilitation Outcomes ◽  
Home Based ◽  
The Impact

Background: Home-based medical care is expanding rapidly in Japan.Objectives: We aimed to identify the factors associated with outcomes of therapy in patients receiving home-visit rehabilitation.Methods: One hundred twenty-one patients receiving home-based rehabilitation were investigated. Nutritional status was assessed by the Mini Nutritional Assessment Short Form (MNA-SF). The Functional Independence Measure (FIM) was employed to assess the activities of daily living (ADL). The body mass index (BMI), medical history, and orthopedic disease-related pain were also recorded. The primary outcome was the improvement in FIM scores in one year.Results: A total of 19 (17%) patients were malnourished and 58 (48%) were at risk of malnutrition. Malnourished patients had a lower FIM score at initiation than those at risk of malnutrition or with normal nutritional status. Only changes in patients’ BMI and MNA-SF scores over one year were significantly associated with improved FIM scores (p = 0.0079 and p = 0.0049, respectively). No association was noted with the other factors.Conclusions: This is the first report to demonstrate that changes in MNA-SF scores and BMI are significantly associated with rehabilitation outcomes in home-based care. Nutritional management is essential along with rehabilitation to improve ADL in the long-term home care setting.

scholarly journals Complexity and the triple bottom line: an information-processing perspective

2017 ◽  
Vol 37 (9) ◽  
pp. 1142-1163 ◽  
Author(s):  
Frank Wiengarten ◽  
Muhammad Usman Ahmed ◽  
Annachiara Longoni ◽  
Mark Pagell ◽  
Brian Fynes
Keyword(s):  
Information Processing ◽  
Financial Performance ◽  
Structural Equation ◽  
Negative Impact ◽  
Triple Bottom Line ◽  
Structural Equations ◽  
Equation Modeling ◽  
Bottom Line ◽  
Content Type ◽  
The Impact

Purpose The purpose of this paper is to empirically investigate the impact of complexity on the triple bottom line by applying information-processing theory. Specifically, the paper assesses the impact of internal manufacturing complexity on environmental, social, and financial performance. Furthermore, the paper assesses the moderating role of connectivity and shared schema in reducing the potential negative impact of complexity on performance. Design/methodology/approach Multi-country survey data collected through the Global Manufacturing Research Group were utilized to test the hypotheses. The authors used structural equation modeling to test the measurement and initial structural model. Furthermore, to test the proposed moderating hypotheses, the authors applied the latent moderated structural equations approach. Findings The results indicate that while complexity has a negative impact on environmental and social performance, it does not significantly affect financial performance. Furthermore, this negative impact can be reduced, to some extent, through connectivity; however, shared schema does not significantly impact on the complexity-performance relationship. Originality/value This study presents a comprehensive analysis of the impact of complexity on sustainability. Furthermore, it provides managerial applications as it proposes specific tools to deal with the potential negative influences of complexity.

The impact of brand associations on brand loyalty in the football industry

2016 ◽  
Vol 6 (5) ◽  
pp. 499-519 ◽  
Author(s):  
Daniel Maderer ◽  
Dirk Holtbruegge ◽  
Rachel Woodland
Keyword(s):  
Brand Loyalty ◽  
Structural Equation ◽  
Brand Management ◽  
Negative Impact ◽  
Equation Modeling ◽  
Brand Associations ◽  
Content Type ◽  
Attitudinal Loyalty ◽  
The Usa ◽  
The Impact

Purpose The purpose of this paper is to explore the impact of brand associations on brand loyalty of fans toward professional football clubs in developed and emerging football markets (EFM). In particular, the following research questions are answered: how important are different determinants of brand associations for fans from developed football markets (DFM) and EFM? Are there any major differences in the importance of different brand associations and their influence on brand loyalty between fans from DFM and EFM? Design/methodology/approach Based on the customer-based brand equity framework the impact of brand associations on brand loyalty is tested with a sample of 3,587 fans from DFM – Germany, England, Spain, Italy, and France (2,032) – as well as fans from EFM – Brazil, Russia, India, China, and the USA (1,555). Findings Structural equation modeling is applied and shows a negative impact of brand attributes on attitudinal loyalty, whereas brand benefits positively impact attitudinal loyalty. Furthermore, significant differences between fans from developed and EFM are revealed. Implications for the management of football teams and for research on brand management are derived. Originality/value This study extends the work of Gladden and Funk (2001) by expanding the model used to assess brand loyalty and analyzes it empirically in different football markets. When looking to foster attitudinal loyalty, marketers should concentrate on benefit associations instead of attribute associations. Most importantly, marketers should be aware that when focusing on developing brand loyalty amongst EFM fans, they should not simply apply the same strategies that proved to be effective in DFM and vice versa.

scholarly journals Health-Related Behaviors in Adolescents Mediate the Association between Subjective Social Status and Body Mass Index

2020 ◽  
Vol 17 (19) ◽  
pp. 7307
Author(s):  
Asborg A. Bjertnaes ◽  
Catherine Schwinger ◽  
Petur B. Juliusson ◽  
Tor A. Strand ◽  
Mads N. Holten-Andersen ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Social Status ◽  
Body Mass ◽  
Latent Variable ◽  
Structural Equation ◽  
Subjective Social Status ◽  
Equation Modeling ◽  
Unhealthy Behavior ◽  
Health Related Behaviors ◽  
Health Related

The aim of this study was to explore the association between adolescent subjective social status (SSS) and body mass index (BMI) at two different time points and to determine whether this association was mediated by health-related behaviors. In 2002 (n = 1596) and 2017 (n = 1534), tenth-grade students (15–16 years old) in schools in the District of Oppland, Norway, completed a survey. Four categories of perceived family economy were measured as SSS, and structural equation modeling was performed, including a latent variable for unhealthy behavior derived from cigarette smoking, snuff-use, and alcohol-drinking as well as dietary and exercise as mediators. No linear association was found between SSS and BMI in 2002 (standardized ß −0.02, (95% confidence interval (CI) −0.07, 0.03)). However, an association was present in 2017 (standardized ß −0.05 (95% CI −0.10, −0.001)), indicating that BMI decreased by 0.05 standard deviations (0.05 × 3.1 = 0.16 BMI unit) for every one-category increase in SSS. This association was mediated by exercise (standardized ß −0.013 (95% CI −0.02, −0.004) and unhealthy behavior (standardized ß −0.009 (95% CI −0.002, −0.04)). In conclusion, a direct association between SSS and BMI was found in 2017 in this repeated cross-sectional survey of 15–16-year-old Norwegian adolescents. This association was mediated through health-related behavior.

scholarly journals Effects of Job Content and Physical Activity on Body Mass Index among Obese Managers of the Mexican Manufacturing Industry

2020 ◽  
Vol 17 (11) ◽  
pp. 3969
Author(s):  
Oziely Daniela Armenta-Hernandez ◽  
Aidé Aracely Maldonado-Macias ◽  
Margarita Ortiz Solís ◽  
Miguel Ángel Serrano-Rosa ◽  
Yolanda Angélica Baez-López ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Mass ◽  
Direct Effect ◽  
Work Stress ◽  
Manufacturing Industry ◽  
Explanatory Power ◽  
The Body ◽  
Equation Modeling ◽  
Job Content

Mental health disorders resulting from work stressors are increasing in the Mexican manufacturing industry and worldwide. Managerial positions in these contexts are highly stressful, and although physical activity may reduce the negative effects of work stress, the relationships between these two aspects regarding their effects on the body mass index (BMI) of obese managers are scarcely studied. This article aims to study such relationships by using the Job Content Questionnaire (JCQ) dimensions with the Baecke’s physical activity questionnaire dimensions and analyzing their effects on the BMI. A sample of 255 managers from the Mexican industry, with a (BMI > 30) participated by answering the surveys and providing their weight, their height, and certain sociodemographic information. The research hypotheses were tested using WarpPLS® 6.0 for structural equation modeling. The results for three models featuring acceptable reliability to estimate the direct, indirect, and total effects are presented. The first model showed a medium explanatory power, the variable of job decision-making authority having the greatest direct effect on BMI. The second model showed a medium explanatory power, and the variable of physical activity during leisure-time observed the unique direct effect on BMI. Finally, although the integrating model showed a small explanatory power, both work stress and the physical activity exerted observed direct effects on BMI reduction.

Sign in / Sign up

Export Citation Format

Share Document